research Early prediction of alopecia areata using machine learning modeling of neuro stress immune signatures from multi datasets
A machine learning model can predict alopecia areata early using specific gene markers.
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research Deep Learning-Based Dermatological Condition Detection: A Systematic Review With Recent Methods, Datasets, Challenges, and Future Directions
Deep learning helps detect skin conditions and is advancing dermatology diagnosis and treatment.
research In Search of Predictive Models for Inhibitors of 5-alpha Reductase 2 Based on the Integration of Bioactivity and Molecular Descriptors Data.
The models can help find better inhibitors for conditions like baldness and prostate disorders.
research Pre‐polycystic ovary syndrome and polymenorrhoea as new facets of polycystic ovary syndrome (PCOS): Evidences from a single centre data set
Polymenorrhoea should be included in PCOS diagnostic criteria due to similar metabolic issues.
research Enhanced Hair Disease Classification Using Deep Learning
The model accurately classifies hair conditions with 97% accuracy.
research PandaOmics: An AI-Driven Platform for Therapeutic Target and Biomarker Discovery
PandaOmics uses AI to find new disease treatment targets and biomarkers.
research Bioinformatics analysis and verification of m6A related genes based on the construction of keloid diagnostic model
IGF2BP3 and other m6A-related genes are linked to keloid formation and could be potential treatment targets.
research Research on hair removal algorithm of dermatoscopic images based on maximum variance fuzzy clustering and optimization Criminisi algorithm
The new hair removal algorithm for skin images works better for detecting and fixing hair, improving melanoma diagnosis.
research Reproducibility package for an auditable exploratory re-analysis of miRNA dysregulation and aging-related validated target enrichment in female pattern hair loss
The study provides exploratory findings on miRNA changes in female hair loss.
research Reproducibility package for an auditable exploratory re-analysis of miRNA dysregulation and aging-related validated target enrichment in female pattern hair loss
The study explores miRNA changes in female hair loss.
research Reproducibility package for an auditable exploratory re-analysis of miRNA dysregulation and aging-related validated target enrichment in female pattern hair loss
The package offers tools for exploring potential miRNA changes in female hair loss.
research Reproducibility package for an auditable exploratory re-analysis of miRNA dysregulation and aging-related validated target enrichment in female pattern hair loss
The study explores miRNA changes in female hair loss.
research Sparse haplotype-based fine-scale local ancestry inference at scale reveals recent selection on immune responses
Recent selection on immune response genes was identified across seven ethnicities.
research Bioinformatics analysis and verification of m6A related genes based on the construction of keloid diagnostic model
IGF2BP3 gene is up-regulated in keloid patients, suggesting potential targets for treatment.
research Plasma proteome–driven identification of druggable immune regulators of alopecia areata, validated by transcriptome and single-cell mapping
Belatacept may be a promising treatment for alopecia areata.
research Towards Best Practice in Hair Metabolomic Studies: Systematic Investigation on the Impact of Hair Length and Color
Hair color and length affect metabolite profiles in hair, so they should be considered in hair analysis.
research Why Do Promising Therapies Stall in Development and How Can We Move Them Forward?
Most drugs fail to reach the market, but understanding their properties and using strategies like early toxicity tests and drug repurposing can help advance their development.
research Assessment of Multidimensional Health Care Parameters Among Adults in Japan for Developing a Virtual Human Generative Model: Protocol for a Cross-sectional Study
The study aims to create a model to predict health attributes using diverse health data from Japanese adults.
research Prediction of Alopecia Areata using CNN
A new CNN model can detect Alopecia Areata with 98% accuracy.
research Boundary-aware Multi-stage with Mobile U-Net for Hair Segmentation in Dermoscopic Images
The new method improves hair segmentation in skin images, helping detect skin cancer more accurately.
research Weakly-Supervised Hair SEM Microscope Image Segmentation Using a Priori Structure Information
The method improves hair image segmentation accuracy while reducing annotation costs.
research Identification of immune microenvironment changes, immune-related pathways and genes in male androgenetic alopecia
The research suggests immune system changes and specific gene expression may contribute to male hair loss, proposing potential new treatments.
research A Comprehensive Survey on Vitiligo Detection Using Deep Learning
Better datasets and methods are needed for reliable vitiligo detection using deep learning.
research Integrated single-cell RNA-sequencing data of unwounded and wounded mouse skin and fibroblasts.
The dataset includes detailed genetic information from mouse skin cells before and after injury.
research Integrated single-cell RNA-sequencing data of unwounded and wounded mouse skin and fibroblasts.
The dataset includes detailed genetic information from mouse skin cells before and after injury.
research Analyzing Big EHR Data—Optimal Cox Regression Subsampling Procedure with Rare Events
A new method makes analyzing large datasets with rare events faster and more efficient.
research Twenty-Five and Up (25Up) Study: A New Wave of the Brisbane Longitudinal Twin Study
The 25Up study collected extensive data on mental disorders and related factors in Australian twins and siblings to investigate the genetics of psychiatric illnesses.
research The Dark Side of the Language: Pre-trained Transformers in the DarkNet
Pre-trained Transformers need extreme retraining to perform well on DarkNet data.
research ARTIFICIAL INTELLIGENCE TECHNIQUES IN PREDICTION OF COVID-19 MORTALITY AND ITS RELATED FACTORS: A MULTI-CENTER STUDY
AI can effectively predict COVID-19 mortality risk using patient data.
research HairLossMultinet: A Multi Scale Feature Fusion Method Using Deep Learning Approach
HairLossMultinet accurately classifies hair damage with 98% accuracy but needs a more diverse dataset for broader use.